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封面
市场调查报告书
商品编码
1404573

人工智慧在通讯市场规模、份额、趋势分析报告：按应用、地区、细分市场预测，2023-2030 年

AI In Telecommunication Market Size, Share & Trends Analysis Report By Application (Network Security, Network Optimization, Customer Analytics, Virtual Assistance, Self-Diagnostics), By Region, And Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10个工作天内

价格

人工智慧市场成长与通讯趋势：

Grand View Research, Inc. 的最新报告显示，到 2030 年，全球人工智慧通讯市场规模预计将达到 112.9 亿美元。

预计2023年至2030年市场复合年增长率为28.2%。

通讯服务供应商(虚拟) 越来越关注通讯最佳化，我们需要为我们的规划和营运带来智慧。因此，通讯业正在探索和实施人工智慧，以提高网路效率和客户体验。

通讯业正在利用云端运算、巨量资料分析和深度学习等技术来满足消费者对多媒体服务和网路安全的需求。此外，服务感知网路系统和深度封包检测技术的发明使得通讯网路智慧化成为可能。产业研究人员正在利用基于人工智慧的技术来优化网路架构和管理，并实现更自主的操作。

此外，由于服务需求的多样化以及设备、系统架构和应用的异质性，下一代无线网路预计将演进为更复杂的系统架构。随着网路技术变得更加复杂，人工智慧再次在电讯业受到关注。通讯网路中基于人工智慧的潜在使用案例包括网路营运监控和管理、减少诈欺、预测性维护、网路安全以及用于行销和客户服务的虚拟助理。然而，网路营运监控和管理仍然是通讯业的首要使用案例，因为一些通讯服务供应商采用人工智慧方法来满足通讯自动化和敏捷性的需求。

通讯市场人工智慧报告亮点

  • 改善客户体验是推动市场成长的主要因素之一，因为为客户服务引入的聊天机器人正在很好地推动业务收益。
  • 在通讯领域，机器学习方法开始出现以应对虚拟挑战。
  • 人工智慧支援的以网路为中心的应用程式包括用于维护和配置的异常侦测、效能监控、警报抑制、自动故障单解决、网路故障预测以及网路容量规划和拥塞预测。
  • 预计亚太地区在预测期内将以 32.9% 的复合年增长率增长最快。这一增长得益于中国和印度等新兴国家的快速技术进步。

目录

第一章调查方法和范围

第 2 章执行摘要

第三章 人工智慧市场变数、趋势和通讯领域范围

  • 市场体系展望
  • 产业价值链分析
  • 市场动态
    • 市场驱动因素分析
    • 市场抑制因素分析
    • 市场机会分析
  • 通讯市场分析工具中的人工智慧
    • 产业分析-波特五力分析
    • PESTEL分析

第 4 章通讯领域的人工智慧市场：使用估算和趋势分析

  • 通讯领域的人工智慧市场：重点
  • 通讯人工智慧市场：2022 年和 2030 年趋势和市场占有率分析
  • 网路安全
  • 网路最佳化
  • 客户分析
  • 虚拟援助
  • 自诊断
  • 其他的

第五章通讯领域人工智慧市场：区域估算与趋势分析

  • 区域展望
  • 按地区分類的通讯人工智慧市场：重点
  • 北美洲
    • 2017年至2030年市场预测
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 韩国
  • 拉丁美洲
    • 巴西
    • 墨西哥
  • 中东/非洲
    • 沙乌地阿拉伯
    • 南非
    • 阿拉伯聯合大公国

第六章竞争形势

  • 主要市场参与企业的最新趋势和影响分析
  • 市场参与企业分类
    • IBM Corporation
    • Microsoft
    • Intel Corporation
    • Google LLC
    • AT&T Intellectual Property
    • Cisco Systems, Inc.
    • Nuance Communications, Inc.
    • Evolv Technologies Holdings Inc.
    • H2O.ai.
    • Infosys Limited
    • Salesforce, Inc.
    • NVIDIA Corporation
Product Code: GVR-4-68038-247-1

AI In Telecommunication Market Growth & Trends:

The global AI in telecommunication market size is expected to reach USD 11.29 billion by 2030, according to a new report by Grand View Research, Inc. The market is anticipated to register a CAGR of 28.2% from 2023 to 2030.

Communication Service Providers (CSPs) need to bring the intelligence in their system optimization, planning, and operations to address the increasing complexities in communication networks caused due to the deployment of new technology paradigms, such as Network Function Virtualization (NFV) and Software-Defined Wide-Area Networking (SD-WAN). Therefore, the telecommunications industry is exploring and introducing AI to improve network efficiency and customer experience.

The telecommunication industry has leveraged technologies, such as cloud computing, big data analytics, and deep learning, to fulfill consumer demands of multimedia services and network security. Also, the intellectualization of communication networks has become possible with the invention of technologies of service-aware network systems and deep packet inspection. Researchers in the industry are tapping into artificial intelligence-based techniques to optimize network architecture & management, and to enable more autonomous operations.

Furthermore, the next-generation wireless networks are anticipated to evolve into more complex system architectures due to the diversified service requirements and heterogeneity in devices, system architectures, and applications. Artificial intelligence has renewed interest in the telecom industry due to the rising complexity of network technology. Potential AI-based use-cases in communication networks include network operation monitoring & management, fraud mitigation, predictive maintenance, cybersecurity, and virtual assistants for marketing and customer service. However, network operation monitoring & management remains the top use-case in the telecom industry as several communications service providers have adopted AI approaches to address the need for communication automation and agility.

AI In Telecommunication Market Report Highlights:

  • Improving customer experience is one of the major factors driving the growth of the market since chatbots deployed for customer service have fueled the business earnings adequately
  • Machine learning approaches are beginning to emerge in the telecommunication domain to address the challenges of virtualization
  • AI-supported network-centric applications include anomaly detection for maintenance and provisioning, performance monitoring, alert suppression, automated resolution of a trouble ticket, network faults prediction, and network capacity planning or congestion prediction
  • Asia Pacific is expected to grow at the fastest CAGR of 32.9% during the forecast period. This growth is attributed to the rapid technological advancements in emerging economies, such as China and India.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
    • 1.1.1. Application
    • 1.1.2. Regional scope
    • 1.1.3. Estimates and forecast timeline
  • 1.2. Research Methodology
  • 1.3. Information Procurement
    • 1.3.1. Purchased database
    • 1.3.2. GVR's internal database
    • 1.3.3. Secondary sources
    • 1.3.4. Primary research
    • 1.3.5. Details of primary research
  • 1.4. Information or Data Analysis
  • 1.5. Market Formulation & Validation
  • 1.6. Model Details
  • 1.7. List of Secondary Sources
  • 1.8. List of Primary Sources
  • 1.9. Objectives

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
    • 2.2.1. Application outlook
    • 2.2.2. Regional outlook
  • 2.3. Competitive Insights

Chapter 3. Artificial Intelligence in Telecommunication Market Variables, Trends & Scope

  • 3.1. Market Lineage Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market driver analysis
    • 3.3.2. Market restraint analysis
    • 3.3.3. Market opportunity analysis
  • 3.4. Artificial Intelligence in Telecommunication Market Analysis Tools
    • 3.4.1. Industry analysis - Porter's
      • 3.4.1.1. Supplier power
      • 3.4.1.2. Buyer power
      • 3.4.1.3. Substitution threat
      • 3.4.1.4. Threat of new entrant
      • 3.4.1.5. Competitive rivalry
    • 3.4.2. PESTEL analysis
      • 3.4.2.1. Political landscape
      • 3.4.2.2. Technological landscape
      • 3.4.2.3. Economic landscape

Chapter 4. Artificial Intelligence in Telecommunication Market: Application Estimates & Trend Analysis

  • 4.1. Artificial Intelligence in Telecommunication Market: Key Takeaways
  • 4.2. Artificial Intelligence in Telecommunication Market: Movement & Market Share Analysis, 2022 & 2030
  • 4.3. Network Security
    • 4.3.1. Network security market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.4. Network optimization
    • 4.4.1. Network optimization market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.5. Customer Analytics
    • 4.5.1. Customer analytics market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.6. Virtual Assistance
    • 4.6.1. Virtual assistance therapy market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.7. Self-Diagnostics
    • 4.7.1. Self-Diagnostics market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.8. Others
    • 4.8.1. Others market estimates and forecasts, 2017 to 2030 (USD Million)

Chapter 5. Artificial Intelligence in Telecommunication Market: Regional Estimates & Trend Analysis

  • 5.1. Regional Outlook
  • 5.2. Artificial Intelligence in Telecommunication Market by Region: Key Takeaway
  • 5.3. North America
    • 5.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.3.2. U.S.
      • 5.3.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.3.3. Canada
      • 5.3.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 5.4. Europe
    • 5.4.1. UK
      • 5.4.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.4.2. Germany
      • 5.4.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.4.3. France
      • 5.4.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 5.5. Asia Pacific
    • 5.5.1. Japan
      • 5.5.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.5.2. China
      • 5.5.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.5.3. India
      • 5.5.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.5.4. Australia
      • 5.5.4.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.5.5. South Korea
      • 5.5.5.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 5.6. Latin America
    • 5.6.1. Brazil
      • 5.6.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.6.2. Mexico
      • 5.6.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 5.7. MEA
    • 5.7.1. Saudi Arabia
      • 5.7.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.7.2. South Africa
      • 5.7.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.7.3. UAE
      • 5.7.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)

Chapter 6. Competitive Landscape

  • 6.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 6.2. Market Participant Categorization
    • 6.2.1. IBM Corporation
      • 6.2.1.1. Company overview
      • 6.2.1.2. Financial performance
      • 6.2.1.3. Product benchmarking
      • 6.2.1.4. Strategic initiatives
    • 6.2.2. Microsoft
      • 6.2.2.1. Company overview
      • 6.2.2.2. Financial performance
      • 6.2.2.3. Product benchmarking
      • 6.2.2.4. Strategic initiatives
    • 6.2.3. Intel Corporation
      • 6.2.3.1. Company overview
      • 6.2.3.2. Financial performance
      • 6.2.3.3. Product benchmarking
      • 6.2.3.4. Strategic initiatives
    • 6.2.4. Google LLC
      • 6.2.4.1. Company overview
      • 6.2.4.2. Financial performance
      • 6.2.4.3. Product benchmarking
      • 6.2.4.4. Strategic initiatives
    • 6.2.5. AT&T Intellectual Property
      • 6.2.5.1. Company overview
      • 6.2.5.2. Financial performance
      • 6.2.5.3. Product benchmarking
      • 6.2.5.4. Strategic initiatives
    • 6.2.6. Cisco Systems, Inc.
      • 6.2.6.1. Company overview
      • 6.2.6.2. Financial performance
      • 6.2.6.3. Product benchmarking
      • 6.2.6.4. Strategic initiatives
    • 6.2.7. Nuance Communications, Inc.
      • 6.2.7.1. Company overview
      • 6.2.7.2. Financial performance
      • 6.2.7.3. Product benchmarking
      • 6.2.7.4. Strategic initiatives
    • 6.2.8. Evolv Technologies Holdings Inc.
      • 6.2.8.1. Company overview
      • 6.2.8.2. Financial performance
      • 6.2.8.3. Product benchmarking
      • 6.2.8.4. Strategic initiatives
    • 6.2.9. H2O.ai.
      • 6.2.9.1. Company overview
      • 6.2.9.2. Financial performance
      • 6.2.9.3. Product benchmarking
      • 6.2.9.4. Strategic initiatives
    • 6.2.10. Infosys Limited
      • 6.2.10.1. Company overview
      • 6.2.10.2. Financial performance
      • 6.2.10.3. Product benchmarking
      • 6.2.10.4. Strategic initiatives
    • 6.2.11. Salesforce, Inc.
      • 6.2.11.1. Company overview
      • 6.2.11.2. Financial performance
      • 6.2.11.3. Product benchmarking
      • 6.2.11.4. Strategic initiatives
    • 6.2.12. NVIDIA Corporation
      • 6.2.12.1. Company overview
      • 6.2.12.2. Financial performance
      • 6.2.12.3. Product benchmarking
      • 6.2.12.4. Strategic initiatives

List of Tables

  • Table 1 List of abbreviation
  • Table 2 North America artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 3 North America artificial intelligence in telecommunication market, by region, 2017 to 2030 (USD Million)
  • Table 4 U.S. artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 5 Canada artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 6 Europe artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 7 Europe artificial intelligence in telecommunication market, by region, 2017 to 2030 (USD Million)
  • Table 8 Germany artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 9 UK artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 10 France artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 11 Asia Pacific artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 12 Asia Pacific artificial intelligence in telecommunication market, by region, 2017 to 2030 (USD Million)
  • Table 13 China artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 14 Japan artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 15 India artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 16 Australia artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 17 South Korea artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 18 Latin America artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 19 Latin America artificial intelligence in telecommunication market, by region, 2017 to 2030 (USD Million)
  • Table 20 Brazil artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 21 Mexico artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 22 Middle East and Africa artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 23 Middle East and Africa artificial intelligence in telecommunication market, by region, 2017 to 2030 (USD Million)
  • Table 24 South Africa artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 25 Saudi Arabia artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 26 UAE artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)

List of Figures

  • Fig. 1 Market research process
  • Fig. 2 Data triangulation techniques
  • Fig. 3 Primary research pattern
  • Fig. 4 Market research approaches
  • Fig. 5 Value-chain-based sizing & forecasting
  • Fig. 6 QFD modeling for market share assessment
  • Fig. 7 Market formulation & validation
  • Fig. 8 Artificial intelligence in telecommunication: Market outlook
  • Fig. 9 Artificial intelligence in telecommunication: Competitive insights
  • Fig. 10 Parent market outlook
  • Fig. 11 Related/ancillary market outlook
  • Fig. 12 Penetration and growth prospect mapping
  • Fig. 13 Industry value chain analysis
  • Fig. 14 Artificial intelligence in telecommunication market driver impact
  • Fig. 15 Artificial intelligence in telecommunication market restraint impact
  • Fig. 16 Artificial intelligence in telecommunication market strategic initiatives analysis
  • Fig. 17 Artificial intelligence in telecommunication market: Application movement analysis
  • Fig. 18 Artificial intelligence in telecommunication market: Application outlook and key takeaways
  • Fig. 19 Network security market estimates and forecasts, 2017 - 2030
  • Fig. 20 Network optimization market estimates and forecasts, 2017 - 2030
  • Fig. 21 Customer analytics market estimates and forecasts, 2017 - 2030
  • Fig. 22 Virtual assistance market estimates and forecasts, 2017 - 2030
  • Fig. 23 Self-Diagnostics market estimates and forecasts, 2017 - 2030
  • Fig. 24 Others market estimates and forecasts, 2017 - 2030
  • Fig. 25 Global artificial intelligence in telecommunication market: Regional movement analysis
  • Fig. 26 Global artificial intelligence in telecommunication market: Regional outlook and key takeaways
  • Fig. 27 North America market estimates and forecasts, 2017 - 2030
  • Fig. 28 U.S. market estimates and forecasts, 2017 - 2030
  • Fig. 29 Canada market estimates and forecasts, 2017 - 2030
  • Fig. 30 Europe market estimates and forecasts, 2017 - 2030
  • Fig. 31 UK market estimates and forecasts, 2017 - 2030
  • Fig. 32 Germany market estimates and forecasts, 2017 - 2030
  • Fig. 33 France market estimates and forecasts, 2017 - 2030
  • Fig. 34 Asia Pacific market estimates and forecasts, 2017 - 2030
  • Fig. 35 Japan market estimates and forecasts, 2017 - 2030
  • Fig. 36 China market estimates and forecasts, 2017 - 2030
  • Fig. 37 India market estimates and forecasts, 2017 - 2030
  • Fig. 38 Australia market estimates and forecasts, 2017 - 2030
  • Fig. 39 South Korea market estimates and forecasts, 2017 - 2030
  • Fig. 40 Latin America market estimates and forecasts, 2017 - 2030
  • Fig. 41 Brazil market estimates and forecasts, 2017 - 2030
  • Fig. 42 Mexico market estimates and forecasts, 2017 - 2030
  • Fig. 43 Middle East and Africa market estimates and forecasts, 2017 - 2030
  • Fig. 44 Saudi Arabia market estimates and forecasts, 2017 - 2030
  • Fig. 45 South Africa market estimates and forecasts, 2017 - 2030
  • Fig. 46 UAE market estimates and forecasts, 2017 - 2030